Demo Cafe Duke

From coffee talk to world walk.

The Three Pillars of AI for Developers

A developer-first framing of how AI impacts how we build, ship, and design software.

Code Assisting

Use AI pair-programmers to accelerate routine coding while you stay focused on design, correctness, and security.

Scaffold features and tests in minutes.
Reduce boilerplate; focus on architecture.
Review AI output with guardrails and policies.

Low Time to Market

Integrate managed AI services (NLP, vision, speech, retrieval) to ship advanced capability fast.

Outsource heavy ML to reliable APIs.
Focus on orchestration and UX, not models.
Track cost and quality as first-class metrics.

New UI/UX Modalities

Move from clicks to conversations (chat, voice, multimodal) with clear guardrails and recovery paths.

Design for intent, not just screens.
Handle misunderstandings with graceful fallbacks.
Make capabilities discoverable in conversational UIs.

Foundation: Operational Excellence & Reliability

Observability (quality & latency), cost control (tokens/GPU), safety guardrails, and evaluation methods for non-deterministic outputs.